| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 16 | | tagDensity | 0.313 | | leniency | 0.625 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.35% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 578 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 22.15% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 578 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "weight" | | 1 | "flicker" | | 2 | "pulse" | | 3 | "footsteps" | | 4 | "tension" | | 5 | "pulsed" | | 6 | "maw" | | 7 | "scanned" | | 8 | "whisper" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 69 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 69 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 79 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 19 | | ratio | 0 | | matches | (empty) | |
| 0.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 16 | | markdownWords | 66 | | totalWords | 571 | | ratio | 0.116 | | matches | | 0 | "\"You’re late.\"" | | 1 | "\"Detective Quinn,\"" | | 2 | "\"I was wondering when you’d show up.\"" | | 3 | "\"Where is he?\"" | | 4 | "\"Who?\"" | | 5 | "\"The man I was chasing.\"" | | 6 | "\"Oh. That one.\"" | | 7 | "\"You’re not here for him,\"" | | 8 | "\"You’re here for us.\"" | | 9 | "\"What do you want?\"" | | 10 | "\"Information.\"" | | 11 | "\"About the Veil Market.\"" | | 12 | "\"You know about it,\"" | | 13 | "\"I know more than you think.\"" | | 14 | "\"And you’re about to find out just how much.\"" | | 15 | "\"Or you could come with me.\"" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 60.89% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 16 | | wordCount | 505 | | uniqueNames | 6 | | maxNameDensity | 1.78 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 9 | | Raven | 2 | | Nest | 2 | | Soho | 1 | | Veil | 1 | | Market | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Raven" | | 2 | "Nest" | | 3 | "Market" |
| | places | | | globalScore | 0.609 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 35 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 571 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 79 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 30 | | mean | 19.03 | | std | 15.17 | | cv | 0.797 | | sampleLengths | | 0 | 43 | | 1 | 46 | | 2 | 48 | | 3 | 35 | | 4 | 48 | | 5 | 3 | | 6 | 53 | | 7 | 14 | | 8 | 7 | | 9 | 2 | | 10 | 2 | | 11 | 33 | | 12 | 16 | | 13 | 8 | | 14 | 8 | | 15 | 5 | | 16 | 14 | | 17 | 8 | | 18 | 17 | | 19 | 22 | | 20 | 12 | | 21 | 10 | | 22 | 11 | | 23 | 14 | | 24 | 6 | | 25 | 24 | | 26 | 22 | | 27 | 10 | | 28 | 6 | | 29 | 24 |
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| 90.01% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 69 | | matches | | 0 | "were headed" | | 1 | "were lined" | | 2 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 93 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 79 | | ratio | 0.051 | | matches | | 0 | "The suspect’s scent—old leather, something metallic—lingered in the damp air, just ahead." | | 1 | "Then—footsteps." | | 2 | "The air inside smelled of stale beer and something older—something that didn’t belong in this world." | | 3 | "Then—a whisper." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 512 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 18 | | adverbRatio | 0.03515625 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.001953125 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 79 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 79 | | mean | 7.23 | | std | 4.68 | | cv | 0.647 | | sampleLengths | | 0 | 16 | | 1 | 15 | | 2 | 12 | | 3 | 4 | | 4 | 5 | | 5 | 3 | | 6 | 3 | | 7 | 12 | | 8 | 13 | | 9 | 3 | | 10 | 3 | | 11 | 9 | | 12 | 12 | | 13 | 11 | | 14 | 16 | | 15 | 1 | | 16 | 2 | | 17 | 16 | | 18 | 16 | | 19 | 11 | | 20 | 19 | | 21 | 2 | | 22 | 16 | | 23 | 3 | | 24 | 15 | | 25 | 12 | | 26 | 18 | | 27 | 5 | | 28 | 3 | | 29 | 4 | | 30 | 2 | | 31 | 8 | | 32 | 2 | | 33 | 5 | | 34 | 2 | | 35 | 2 | | 36 | 15 | | 37 | 9 | | 38 | 5 | | 39 | 4 | | 40 | 9 | | 41 | 7 | | 42 | 5 | | 43 | 3 | | 44 | 7 | | 45 | 1 | | 46 | 5 | | 47 | 7 | | 48 | 7 | | 49 | 3 |
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| 32.28% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.26582278481012656 | | totalSentences | 79 | | uniqueOpeners | 21 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 61 | | matches | (empty) | | ratio | 0 | |
| 95.41% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 19 | | totalSentences | 61 | | matches | | 0 | "She kept her shoulders squared," | | 1 | "She didn’t slow." | | 2 | "She turned left, her breath" | | 3 | "She exhaled, the tension in" | | 4 | "She pushed through." | | 5 | "His coat was too long," | | 6 | "He didn’t move toward her." | | 7 | "He didn’t need to." | | 8 | "he said, his voice smooth" | | 9 | "She didn’t lower her gun." | | 10 | "He gestured behind her" | | 11 | "She knew what she’d find." | | 12 | "She exhaled, her breath fogging" | | 13 | "His voice was calm, almost" | | 14 | "He stepped closer, his coat" | | 15 | "She could shoot." | | 16 | "She could run." | | 17 | "She didn’t answer." | | 18 | "She didn’t move." |
| | ratio | 0.311 | |
| 25.57% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 53 | | totalSentences | 61 | | matches | | 0 | "The rain hammered down in" | | 1 | "She kept her shoulders squared," | | 2 | "The suspect’s scent—old leather, something" | | 3 | "A flicker of movement." | | 4 | "A shadow darting between lampposts." | | 5 | "Quinn’s pulse steadied." | | 6 | "She didn’t slow." | | 7 | "The alleyway ahead was narrow," | | 8 | "The suspect vanished into the" | | 9 | "The Raven’s Nest." | | 10 | "She turned left, her breath" | | 11 | "The streets of Soho blurred" | | 12 | "A figure darted across the" | | 13 | "Quinn’s hand twitched toward her" | | 14 | "Quinn spun, gun raised, but" | | 15 | "She exhaled, the tension in" | | 16 | "The Raven’s Nest’s green neon" | | 17 | "The bar’s entrance was a" | | 18 | "The air inside smelled of" | | 19 | "She pushed through." |
| | ratio | 0.869 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 61 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 21 | | technicalSentenceCount | 1 | | matches | | 0 | "The air inside smelled of stale beer and something older—something that didn’t belong in this world." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 2 | | matches | | 0 | "he said, his voice smooth as oil" | | 1 | "He stepped, his coat brushing against the wall" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 16 | | tagDensity | 0.188 | | leniency | 0.375 | | rawRatio | 0 | | effectiveRatio | 0 | |